[PDF] Top 20 Performance of compressive sensing algorithms over time varying frequency selective channel
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Performance of compressive sensing algorithms over time varying frequency selective channel
... linear time. Recently several low complexity iterative algorithms are ...of performance [11] and ...greedy algorithms such as OMP, StOMP and ROMP [13]-[18] for the purpose of channel ... See full document
6
Performance Analysis Of Compressive Sensing Algorithms For Image Processing
... of sensing and sampling resources, especially in application scenarios where such resources as sensors, energy, and observation time ...way, compressive sensing promises to recover the ... See full document
8
High-Dynamic DOA Estimation Based on Weighted L1 Minimization
... In compressive sensing framework, many DOA estimation algorithms have been proposed by utilizing one or multiple snapshots ...snapshots compressive sensing algorithms are ...same ... See full document
13
Spectrally Efficient Communication over Time-Varying Frequency-Selective Mobile Channels: Variable-Size Burst Construction and Adaptive Modulation
... underlying channel, the transmission e ffi ciency is poor since the burst size needs to be very ...the channel [6, 7], the transmission efficiency can be ...some performance loss, the complexity can be ... See full document
16
Frequency-Shift Zero-Forcing Time-Varying Equalization for Doubly Selective SIMO Channels
... doubly selective channel and discuss the assumptions that hold throughout the pa- ...the time-domain representation of the min- imal norm LTV-ZF equalizer is introduced, and the math- ematical ... See full document
14
Time-Varying FIR Equalization for MIMO Transmission over Doubly Selective Channels
... carrier frequency offset (CFO) the received signal is subject to frequency ...to time-selectivity characteristics of the mobile wireless ...communication channel is generally characterized as ... See full document
11
Compressive sensing based channel estimation for SC FDE system
... The channel of wireless broadband communication system usually features time domain ...The channel estimation of single carrier frequency domain equalization (SC-FDE) system was modeled as ... See full document
8
Heuristic Channel Estimation Based on Compressive Sensing in LTE Downlink Channel
... from time and frequency fading channels. How- ever, the performance of wireless system relies heavily on the validity of OFDM channel ...better performance through two approaches, e.g., ... See full document
5
Power line communications over time-varying frequency-selective power line channels for Smart Home Applications
... the performance of the SONR window when Q = 3 is even better than the non-window case with Q = 7 shown in ...the performance of the IONR window is very bad and some strange fluctuation can even be ...the ... See full document
91
Performance Analysis of TFT-OFDM Systems in Long Delay Channels Using Turbo Codes
... Compressive sensing has made a great impression in the signal processing and broadcasting community, where besides an intriguing theory it offers versatile applicability to many challenging ...of ... See full document
7
Improving Performance and Detection Schemes of Mimo-Ofdm Systems in the Presence of Phase Noise and Doubly-Selective Fading Where Channel is Both Time and Frequency Selective Offia Innocent.S, Udeh Ikemefuna James, Eke J
... 4.. Performance of the ML scheme is used as the benchmark for other detection ...noise over fast time-varying fading channels for which ICI should be dealt with, error floors are observed for ... See full document
7
Performance of Macrodiversity MIMO systems in Flat Rayleigh Fading
... In Fig.6 and also in Figs.7-8 the SER is plotted against the transmit SNR, ̅. This is chosen instead of the receiver SNR to separate the curves so that the drops are visible and are not all superimposed, which tends to ... See full document
10
Channel Estimation Based On Compressive Sensing In Ofdm Systems
... the performance and running time of channel ...the performance of channel ...the channel estimation effect is ...the channel estimation increases ...each time ... See full document
7
Performance Analysis of Self-Scheduling Multi-channel Cognitive MAC Protocols under Imperfect Sensing Environment
... control channel and up to primary channels for data transmission. A cycle time ( ) consists of four intervals: CR-Idle ( ), Sensing-Sharing (SS) ( ), Contention ( ) and Transmission ( ) as shown in ... See full document
9
Compressive Sensing based Channel Estimation in OFDM Systems
... the sparse coefficient vector of length n, having fewer Signiant nonzero entries. The original signal can be recovered back from compressive measurements by solving (1), which is an underdetermined system of ... See full document
5
IMAGE DUPLICATION AND ROTATION DETECTION METHODS FOR STORAGE UTILIZATION
... (BER) performance of a new orthogonal frequency-division multiplexing (OFDM) system based on discrete multiwavelet critical-sampling transform ...of channel coding in an OFDM based on the DMWCST ... See full document
9
DATA RATE ENHANCEMENT OF GSM USING OFDM TECHNIQUE
... Available Online at www.ijpret.com 380 The author applies the modulation scheme of asymmetrically and symmetrically clipping optical (ASCO)-ADAPTIVE- OFDM into optical wireless communications (OWC). The symmetrically ... See full document
13
A time-domain control signal detection technique for OFDM
... Unlike the control information, the payload (user data) is randomly generated at the transmitter and it is usually dif- ferent for each user. In terms of data recovery, detection of control signalling information is ... See full document
10
Compressive sensing for sparse approximations: constructions, algorithms, and analysis
... I am grateful to Shirley for her pleasant and efficient help over the last four years. It has always been fun to hang out in Moore 155 and collaborate on research with the labmates. The friendship and the enormous ... See full document
248
IJARSE, Vol. No.3, Issue No.8, August 2014 ISSN-2319-8354(E)
... (9) Where is Gaussian with zero mean and covariance matrix . This equation is a crucial step in our derivation. It says that exhibits no interuser interference. Clearly, this relies on the assumption that the ... See full document
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