Additive white gaussian channel
Bit Error Rate Analysis of Coded OFDM for Digital Audio Broadcasting System, Employing Parallel Concatenated Convolution Turbo Codes
... different channel coding ...an Additive White Gaussian Channel (AWGN) based on different constraint lengths and code generator polynomials used for ...
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Signal to noise ratio estimation using the Expectation Maximization Algorithm
... frequency, channel phase, signal power, noise ...is additive white Gaussian noise, AWGN, the distribution of the PDF of the received samples will be Gaussian ...
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The Performance of Fast Frequency Hopping System in Additive White Gaussian Noise (AWGN)
... With the advancement of technology, communication is becoming better and better day by day. Frequencies hopping are one of the latest technologies used in the field of communication. Researchers are doing a lot of ...
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OFDM systems design using harmonic wavelets
... in the processing of N-long input symbol using WT. Given these advantages, we extend the new wavelet transform (i.e. HW) into the design and study of communication systems driven by OFDM and this will be referred to as ...
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Performance Evaluation of OFDM Using BPSK over Different Fading Channel
... as Additive White Gaussian Noise fading (AWGN), Rayleigh fading and Rician fading channels scenario by utilizing Binary Phase Shift Keying adjustment (BPSK) and also Correlation made for various ...
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TRAINING AND DEVELOPMENT OFARTIFICIAL NEURAL NETWORK MODELS: SINGLE LAYER FEEDFORWARD AND MULTI LAYER FEEDFORWARD NEURAL NETWORK
... This paper proposed anew Space Time Block Coded Orthogonal Frequency-Division Multiplexing (STBC- OFDM) system based on Discrete Framelet transform (FT) instead of Fast Fourier Transform (FFT) under different ...
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PERFORMANCE COMPARISON OF BIT ERROR RATE FOR BPSK AND DS-BPSK FOR AWGN AND RAYLEIGH CHANNELS
... Due to the increasing bandwidth requirement the performance of digital modulation techniques have been frequently evaluated by researchers in past. Syed Md. Asif, et al [3], discussed about the fading problem in their ...
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OFDM PAPR REDUCTION USING LINEAR BLOCK CODES WITH ERROR CORRECTION IN ADDITIVE WHITE GAUSSIAN NOISE CHANNEL
... mitigate the effect of PAPR or rather somewhat reduce PAPR to certain mean value we used linear block codes. Linear Block Codes perform up to mark in case error detection and correction problems. If we can use this ...
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ZigBee Signal Phase Tracking Using a Discrete Kalman Filter Estimator under AWGN Channel
... of Additive White Gaussian Noise (AWGN) channel, by minimizing the phase deviation ...AWGN channel which can be extended to Inter- net of Things (IoT) ...
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A Blind Hammerstein Diversity Combining Technique for Flat Fading Channels
... wireless channel is the random variation of its transfer function, known as fading ...of additive white Gaussian noise, maximal ratio combining (MRC) is a theoretically optimal combiner over ...
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Cyclic Channel Coding Algorithm For Original And Received Voice Signal At 8 Khz Using Ber Performance Through Additive White Gaussian Noise Channel
... Figure 3 shows the two curves of BER plot, implemented one for the modulation scheme without channel coding (Red Broken line) and another with the same modulation with coding (Solid Blue line). As a result for ...
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A Block Transmission Method for Converting a Non-Gaussian Channel into Parallel Gaussian Noise Channels
... the channel, subblock noise symbols due to an additive noise on the propagation channel become uncorrelated Gaussian random variables with same variances for a wide range of additive ...
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INTERNATIONAL JOURNAL OF ENGINEERING SCIENCES & MANAGEMENT INVESTIGATIONS ON THE PERFORMANCE ENHANCEMENT OF SELF ENCODED SPREAD SPECTRUM IN WIRELESS COMMUNICATION Kavitha Rani*, Dr.S Suresh Babu
... Spread spectrum systems are employed for the secure transmission of digital information which is achieved through spreading the signal in frequency domain. Pseudo-Noise (PN) sequences are conventionally used for this ...
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Frame By Frame Digital Video Denoising Using Multiplicative Noise Model
... VIDEO signals are considered as a sequence of two- dimensional images, projected from a dynamic three- dimensional scene onto the image plane of a video camera. Luminance and chrominance are two attributes that describe ...
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Translation and Retrieval of Image Information to and from Sound
... The converted sound files were tested with Additive White Gaussian Noise. Here the Signal to Noise Ratio (SNR) value was varied to see how the retrieved image degrades from the original image. Image ...
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A Robust Denoising Algorithm for Sounds of Musical Instruments Using Wavelet Packet Transform
... Providing better performance in terms of PSNR values than the other denoising techniques. In this paper, dis- crete wavelet packet transform is used for denoising- shehnai, dafli and flute sound signal corrupted with ...
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Time of Arrival (TOA) Based Radiolocation Architecture in CDMA Systems and Its Performance Analysis
... Time of arrival (TOA), the strength of a signal and Angle of arrival (AOA) techniques are among those techniques that can be utilized to approximate and evaluate the position of Primary users. In case of multipath ...
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Multi-way relay networks: characterization, performance analysis and transmission scheme design
... Optimum power allocation is an important problem for relay networks as it assures su- perior performance of the system in terms of the received SNR, achievable rate, mean square error of the channel estimation and ...
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Noise Standard Deviation Estimation for Additive White Gaussian Noise Corrupted Images using SVD Domain
... based Gaussian noise estimation is used for pre- processing the many 2D- signals processing application which enhance the range of this ...estimation, Gaussian noise, noise standard deviation, de noising ...
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Simulation and Evaluation of Shrinkage Techniques for Image De-noising under Additive White Gaussian Noise (AWGN)
... Abstract- Image denoising is a process to restore a worth image from degraded image by choosing an appropriate filter but choosing an appropriate filter still is a challenge. Recently, wavelet transform has attracted ...
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