Tuesday, January 28, 2020

Nonlinear Generalized Companding Transform

Nonlinear Generalized Companding Transform Nonlinear Generalized Companding Transform for  Peak-to-Average Power Ratio Reduction in OFDM Eashendra Singh Abstract  Ã¢â‚¬â€ One of the main drawback of Orthogonal Frequency Division Multiplexing (OFDM) system is its high Peak-to-Average Power Ratio (PAPR) of the OFDM signal. In this paper a novel non-linear generalized companding scheme called â€Å"Quadrilateral Companding Transform (QCT)† has been proposed to reduce the PAPR of OFDM signal. The proposed method provides additional degrees of freedom in comparison to existing trapezoidal companding, exponential companding and trapezium distribution based companding schemes. This allows more flexibility in designing the companding function, which is useful for the overall OFDM system to achieve low BER with good PAPR reduction capability. Keywords   Complementary cumulative distribution function  (CCDF), peak-to-average power ratio (PAPR), orthogonal frequency division multiplexing (OFDM), bit error rate (BER). INTRODUCTION The modern day phenomenon of increased thirst for more information and the explosive growth of new multimedia wireless applications have resulted in an increased demand for technologies that support very high speed transmission rates, mobility and efficiently utilize the available spectrum and network resources. OFDM is one of the best solutions to achieve this goal and it offers a promising choice for future high speed data rate systems [1], [2]. OFDM has been standardized as part of the IEEE 802.11a and IEEE 802.11g for high bit rate data transmission over wireless LANs [3]. It is incorporated in other applications and standards such as digital audio broadcasting (DAB), digital video broadcasting (DVB), the European HIPERLAN/2 and the Japanese multimedia mobile access communications (MMAC) [4], [5]. However, a major drawback of FDM systems is the high peak-to-average power ratio (PAPR) of the transmitted signals, resulting in the lower power efficiency, serious signal distortion an d out-of-band radiation when the high power amplifier (HPA) is utilized. Many companding schemes [17]-[23] have been proposed in the literature to reduce the PAPR of OFDM signal. The conventional ÃŽ ¼ law and A-law companding schemes can be used for PAPR reduction, by choosing the suitable value of the parameters ÃŽ ¼ or A, controlling the nonlinearity of the ÃŽ ¼ -law [17] or A -law companding function respectively. But the error performance of both the schemes degrades as both of them introduce high companding distortion in OFDM signal at higher values of ÃŽ ¼ or A. A nonlinear companding transform [18] has been proposed by Jiang et al. to effectively reduce the PAPR of the OFDM signal. In this scheme [18], the Gaussian distributed in-phase (I) and quadrature-phase (Q) components of discrete time complex OFDM signal are transformed into a quasi-uniform distribution. In this scheme, the companding function is separately applied to I and Q components of the OFDM signal. The large values of I or Q components of the OFDM signal are compressed, whereas thos e with small I and Q components are enlarged. The PAPR reduction capability and BER performance of this scheme [18], can be optimized by properly choosing the parameters of the companding function. Jiang et al. proposed â€Å"Exponential Companding (EC)† scheme [19] to transform Rayleigh distributed OFDM signal magnitude into uniform distribution. Exponential companding has the advantage of maintaining the constant average power level in the nonlinear companding operation. However, the distribution of large signals is increased by the uniform companding, which makes the PAPR reduction was very limited under the bit error rate (BER) performance degradation. In this paper proposed technique transform the Rayleigh distributed OFDM signal magnitude into Quadrilateral distribution function as shown in figure 2 to achieve an additional degree of freedom over TC [22]. The parameters of quadrilateral distribution are chosen in such a way that it produces least possible companding dis tortion to achieve low BER for a given PAPR. The remainder of this paper is organized as follows: In section II, the OFDM system model with quadrilateral companding. The proposed quadrilateral companding and decompanding functions are derived in section III. Mathematical analysis of the PAPR performance of proposed scheme is presented in section IV, simulation results for PAPR performances of the proposed scheme are presented and discussed in the same section and conclusion is summarized in section V. SYSTEM MODEL The block diagram of an OFDM system using companding scheme for PAPR reduction is shown in Fig. 1. Here, I have considered an OFDM system with N subcarriers, in which each of the subcarrier is each of the subcarrier is modulated by M-PSK or M-QAM. As shown in Figure 1.The input binary data sequence is first converted into N parallel data substreams and then these are mapped to the constellation points of M- PSK or M-QAM to achieve desired modulation on each of the subcarriers. After this, subcarrier modulation is performed using IFFT block to obtain the discrete time domain OFDM signal. Let be the N complex modulated data symbols to be transmitted over N subcarriers. The discrete time domain OFDM signal generated after taking IFFT of a block of N modulated data symbols. Discrete time domain OFDM signal is passed through the parallel to serial (S/P) converter and then applied to the compander for reducing the dynamic range or PAPR of the OFDM signal. The companded OFDM signal is appl ied to digital to analog (D/A) converter to get analog signal and then finally amplified using HPA. At the receiver, the received signal is first converted into digital signal using A/D converter. Data in Data out Figure 1. Block diagram of OFDM with companding The digital signal is then expanded by inverse companding function known as decomapnding function. After that subcarrier demodulation is performed by taking the FFT of OFDM signal obtained from expander. Finally, M-PSK or M-QAM decoder is used to decode the received data signal.      PROPOSED COMPANDING TECHNIQUE The quadrilateral companding function h(x) is a nonlinear companding function. It transforms the original probability distribution function of OFDM signal magnitude into a quadrilateral distribution as shown in Figure 2, and hence the name â€Å"Quadrilateral Companding Transform†.This may also be called nonlinear generalized companding transform. Figure 2. Quadrilateral distribution for proposed QCT The symbols notation used throughout this paper are listed in Table 1 for convenience. Table 1: List of symbols used in QCT kth modulated data symbol nth sample of discrete time domain OFDM Signal PDF of original OFDM signal (without companding) CDF of original OFDM signal (without companding) PDF of OFDM signal after companding CDF of OFDM signal after companding Upper-bound of the peak value of OFDM signal Quadrilateral Companding function Quadrilateral Decompanding function The pdf of quadrilateral trapezium distribution can be read from Figure 2 as where h1 , h2, l, a and b are the parameters of quadrilateral distribution as shown in the Figure 2.These parameters (h1 , h2, l, a and b) control the nonlinearity of the companding functions. The cumulative distribution function (CDF) of quadrilateral distribution function can be calculated using the following relationship (2) Using (1) and (2) we have Quadrilateral distribution function is bounded in the interval [0,l]. Like EC, TC and TDBC, in this scheme also average power of the OFDM signal before and after companding is kept same, therefore we have (3) As shown in Figure 2, the PDF of quadrilateral trapezium companded OFDM signal lies in the interval [0,l] , therefore, we have, (4) For given values of l, a and b, the parameters ( h1 , h2 ) of the companding function h(x) can be easily calculated using (3) and (4). Therefore, three parameters (l, a and b ) can be chosen independently to control the nonlinearity of companding function h(x) . Hence the proposed QCT has three degree of freedoms. The values of l, a and b should be chosen independently to provide low PAPR and BER. The expression of QCT function h(x) can be derived after equating the CDF of original and companded OFDM signal. Therefore, we have Where is the CDF of original OFDM signal given by following: (5) Therefore we have The output of the N-point Inverse Fast Fourier Transform (IFFT) of are the OFDM signal sample over one symbol interval, or mathematically, Where E [.] denotes the expectation operator. PERFORMANCE ANALYSIS In [22], the PAPR and BER performance of TC has been evaluated for (a = 0.4,b = 0.1 and l = 1.633) , (a = 0.2,b = 0.7 and l = 2.164) , (a = 0,b = 0 and l = 1.732) , (a = 0.9, b = 0.1 and l = 1.488) and (a = 0,b = 1 and l = 2.449) , here we refer to them as ‘TC-1’, ‘TC-2’, ‘EC’, ‘TC-3’ and ‘TC-4’ respectively. In [22], it has been shown that TC-3 provides the best PAPR reduction capability among all the cases under consideration, but its BER performance is very poor, on the other extreme TC-4 provides very less PAPR reduction. Therefore, we ignore these two cases (TC-3 and TC-4) and the remaining three cases i.e. (TC-1, TC-2 and EC), which offer reasonable PAPR are considered in my simulations for comparison with the proposed scheme. To show the outperformance of the proposed scheme (QCT), the PAPR and BER performances are evaluated for two sets of companding function parameters i.e. (a = 0.2,b = 0.7,l = 2.174, h1 = 0.8596 and h2 = 0.8275) and (a = 0.4,b = 0.1,l = 1.643, h1 = 0.8276 and h2 = 0.7874) . Here, we call them as ‘QCT-1’ and ‘QCT-2’. Figure 3. PAPR performance comparision of original and companded signal Figure 4. BER performance comparison of various  companding schemes CONCLUSION The QCT provides extra degrees of freedom to design the companding function and hence by choosing the suitable values of design parameters of the proposed companding function, a good trade-off between the PAPR reduction and the BER can be achieved. The proposed QCT provides better PAPR reduction and BER performance in comparison to TC, EC and TDBC. QCT can achieve a minimum PAPR of 0dB, whereas TC and EC can achieve a minimum PAPR of 3dB and 4.771dB respectively. QCT-2 has superior PAPR performance in comparison to QCT-1 but its BER performance is inferior in comparison to QCT-1. References L. J. Cimini, â€Å"Analysis and simulation of a digital mobile channel using orthogonal frequency division multiplexing,† IEEE Trans. Comm., vol. 33, no. 7, pp. 665–675, July 1985. J. Bingham, â€Å"Multicarrier modulation for data transmission: an idea whose time has come,† IEEE Commun. Mag., vol. 28, no. 5, pp. 5–14, May 1990. M. Schwartz, Mobile Wireless Communications. Cambridge University Press, 2005. V. Nee, G. Awater, M. Morikura, H. Takanashi, M. Webster, and K. W. Halford, â€Å"New high-rate wireless LAN standards,† IEEE Commun. Mag., vol. 37, no. 12, pp. 82–88, December 1999. I. Koffman and V. Roman, â€Å"Broadband wireless access solution based on OFDM access in IEEE 802.16,† IEEE Commun. Mag., vol. 40, no. 4, pp. 96–103, April 2002. Van Nee R., Prasad R., OFDM for wireless Multimedia Communications, Artech House, 2003. Weinstein S. B., Ebert P. M., â€Å"Data Transmission for Frequency-Division Multiplexing Using the Discrete Fourier Transform,† IEEE Transactions on Commun. Tech., vol. 19,no. 5, pp. 628–34, Oct. 1971 Chang R. W., â€Å"Synthesis of band-limited orthogonal signals for multichannel datatransmission†, Bell Systems Technical Journal, vol. 46, pp. 1775-1796, Dec. 1966. Despain A. M., â€Å"Very Fast Fourier Transform Algorithms Hardware for Implementation†, IEEE Trans. Comp., Vol. C-28, no. 5, pp. 333-341, May 1979. Bidet E., Castelain D., Joanblanq C., Senn P., â€Å"A fast single-chip implementation of 8192 complex point FFT†, IEEE Journal of Solid State Circ., Vol. 30, no. 3, pp. 300-305,Mar. 1995. Chow P.S., Tu J.C. and Cioffi J.M., â€Å"Performance Evaluation of a Multichannel Transceiver System for ADSL and VHDSL services, IEEE Journal on Selected Areas in Comm., vol. 9,no. 6, Aug. 1991. R. V. Nee and A. D. Wild, â€Å"Reducing the peak-to-average power ratio of OFDM,† in Proc. IEEE Vehicular Technology Conference (VTC), vol. 3, New York, NY, USA, 1998, pp. 2072–2076. Tao Jiang and Yiyan Wu, â€Å"An Overview: Peak-to-average power ratio reduction techniques for OFDM signals†, IEEE Transactions on Broadcasting, vol. 54, no. 2, pp. 257–268, June 2008. O’Neill R., Lopes L. B., â€Å"Envelope variations and spectral splatter in clipped multicarrier signals,† in Proc. IEEE PIMRC’95, Toronto, Canada, pp. 71–75, Sept. 1995. Li X., Cimini Jr. L.J., â€Å"Effect of Clipping and Filtering on Performance of OFDM†, IEEE Comm. Letters, vol. 2, no. 5, pp.131-133, July 1998. Armstrong J., â€Å"Peak-to-average power reduction for OFDM by repeated clipping and frequencydomain filtering†, Electronics Letters, vol. 38, no. 5, pp. 246–247, Feb. 2002. Chen H., Haimmovich A. M., â€Å"Iterative estimation and cancellation of clipping noise for OFDM signals,† IEEE Comm. Letters, vol. 7, no. 5, pp.246-247, July 2003. Jiang T., Xiang W., Richardson P. C., Qu D., Zhu G., â€Å"On the Nonlinear Companding Transform for Reduction in PAPR of MCM Signals†, IEEE Transactions on Wireless Communications, vol. 6, no. 6, pp.2017-2021, June 2007. Jiang T., Yang Y., Song Y., â€Å"Exponential companding transform for PAPR reduction in OFDM systems†, IEEE Transactions on Broadcasting, vol. 51, no. 2, pp. 244–248, June 2005. Huang X., Lu J. H., Zheng J. L., Letaief K. B., Gu J., â€Å"Companding transform for reduction inpeak-to-average power ratio of OFDM signals†, IEEE Transactions on Wireless Comm., vol. 3, no. 6, pp. 2030–2039, Nov. 2004. Aburakhia S. A., Badran E. F., Mohamed D. A. E., â€Å"Linear Companding Transform for the Reduction of Peak-to-Average Power Ratio of OFDM Signals†, IEEE Transactions on Broadcasting, vol. 55, no. 1, pp. 195-200, March 2009. Hou J., Ge J. H., Li J., â€Å"Trapezoidal companding scheme for peak-to-average power ratio reduction of OFDM signals†, Electronics Letters, vol. 45, no. 25, pp. 1349-1351, Dec. 2009. Jeng S. S., Chen J. M., â€Å"Efficient PAPR reduction in OFDM system based on a companding techniques with trapezium distribution†, IEEE Transactions on Broadcasting, vol. 57, no. 2, pp. 291-298, June 2011. T. Hwang, C. Yang, G. Wu, S. Li, and G. Y. Lee, â€Å"OFDM and its wireless application: A survey,† IEEE Trans. Veh. Technol., vol. 58, no. 4, pp. 1673–1694, May 2009. Y. Wang and B. Ai, â€Å"PAPR reduction in OFDM systems via nonlinear companding transform†, in 8th International Conference on Wireless Communications, Networking and Mobile Computing (WiCOM), pp. 172-175, Sept. 2012.

Monday, January 20, 2020

Fire in a Canebrake Essays -- Literary Analysis, Laura Wexler

In her Fire in a Canebrake, Laura Wexler describes an important event in mid-twentieth century American race relations, long ago relegated to the closet of American consciousness. In so doing, Wexler not only skillfully describes the event—the Moore’s Ford lynching of 1946—but incorporates it into our understanding of the present world and past by retaining the complexities of doubt and deception that surrounded the event when it occurred, and which still confound it in historical records. By skillfully navigating these currents of deceit, too, Wexler is not only able to portray them to the reader in full form, but also historicize this muddled record in the context of certain larger historical truths. In this fashion, and by refusing to cede to a desire for closure by drawing easy but inherently flawed conclusions regarding the individuals directly responsible for the 1946 lynching, Wexler demonstrates that she is more interested in a larger historical picture t han the single event to which she dedicates her text. And, in so doing, she rebukes the doubts of those who question the importance of â€Å"bringing up† the lynching, lending powerful motivation and purpose to her writing that sustains her narrative, and the audience’s attention to it. This motivation and purpose are most evident in the quality of Wexler’s writing, made outstanding by her painstaking awareness throughout the text of, firstly, such fundamental things as setting and the introduction of characters, and, secondly, the overarching threads of, for instance, national and state politics, which set the larger stage for the story. In her text, Wexler briefly mentions a prominent figure in the NAACP, Walter White, noting his biting statements regarding the lynching a ... ...lusions—not only in regards to who the lynchers were, but also in regards to the identities of the victims (230), and, worst of all, whether or not the issues central to the Moore’s Ford lynching have been settled, and are past. In these senses, conclusiveness about these issues encourages falseness, precludes justice, and makes the audience let go of things that ought not to be let go—and this, short of the lynching itself, is one of the greatest possible wrongs (244). It is by refusing to conclude, then, that Laura Wexler achieves the greatest success of her outstanding narrative, and is able to successfully navigates the lies and deception of a muddled historical event by adeptly presenting them in the context of larger historical truths. Work Cited Wexler, Laura. 2003. Fire in a Canebrake: The Last Mass Lynching in America. Scribner; 2004. Print

Sunday, January 12, 2020

Conceptual Geometry Syllabus

Geometry Syllabus Class Website: http://new. Schoolmates. Com/Sarah Welcome to Conceptual Geometry! This course will use the textbook Geometry: Cone pits and Applications. Conceptual Geometry builds upon the concepts presented in Algebra 1. New content is introduced as an extension of material previously mastered in the above mentioned course. A primary goal of Conceptual Geometry is the use of mathematical ideas in soVying problems ranging from everyday applications to the real world and sciences. Math Department Vision Statement The vision of our department Is to develop each student's understanding of anathema tics through a challenging and rigorous standards based curriculum. Our goal is to enable students to compete in today's global economic market and to achieve their own goals for success by been g able to think critically. Required Hardbound Notebook (70 sheets minimum),Materials #2 Sharpened Pencils, Eraser, Ruler. (scientific calculator 11TH)_ Classroom Responsibilities: S tudents must be in their seats and be ready to work before the bell rings. Students must respect each other's property, safety and right to learn. Students must come to class with required materials. Students must listen attentively and participate fully in class activities and discussions. Students must complete all assigned class work and homework on time.Students must take notes dally and keep a dally assignment log. Consequences: The consequences for not adhering to the classroom and school policies range in seven rite and depend on frequency of their occurrence. They include: Verbal Warning (3 Max) class Detention (lunch/after school) Phone call home Referral to the Office Parenthetical Conference Missing more than 9 days of class in a semester may result in an automatic 10% grad e reduction.

Friday, January 3, 2020

Access Of Land Resources And Alternative Sources Of Income...

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Data show based on the 2003 Census of Agriculture, the number of households smallholders farmers ( RTPG ) who have land between 0.1 to 0.25 ha increased quite sharply, from approximately 9.4 million to 13.3 million RTPG in the period 1993-2003. This shows that a growing number of farmers who depend on the narrow land then being poor and experiencing the food insecurity. Agricultural census in 2013 showed the number of farm household (RTP) equal to 26.126 million RTP; decreased by 16.18% compared to theShow MoreRelatedChallenges and Opportunities of Rural Micro Enterprise in Malaysia5086 Words   |  21 Pagesfinds that RMEs in the area play supporting role in the household economy. Common characteristics of RMEs are small in size and local market, lack of entrepreneurship culture in the area, lack of entrepreneurial attitudes and lack of availability to access information, fi nancial, business service and infrastructure. 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