Design and implementation of orthogonal based haar wavelet division multiplexing for 3GPP networks

Comparative Analysis of Fast Fourier Transform and Discrete Wavelet Transform Based MIMO-OFDM

“…In [9], a combination of the Walsh Hadamard transforms (WHT) and the fast Hartley transform (FHT) into a new single orthonormal unitary transform is proposed in OFDM to reduce the high PAPR and achieve a better BER performance. In [12]- [14], [19], [20], a discrete wavelet transform (DWT) was proposed to show the superiority of DWT in terms of spectral efficiency and reduced PAPR. The merit of Discrete Wavelet Transform over other traditional transforms have led to tremendous focus on its application not only in OFDM according to [28] as DWT has proved very useful even in other application areas including its use in digital image watermarking scheme [10], where it combines with lifted wavelet transform (LWT) to produce less distortion rate with high reliability and less computation cost for watermarking purposes.…”

“…In [15], state-of-the-art image or video compression techniques such as the JPEG2000 uses DWT for transmission over OFDM channels that produces an energy saving approach to image and video compression data transmission. [22], [24] did a series of BER comparison for FFT-OFDM and DWT-OFDM using various modulation schemes from 16QAM up to 128QAM, 64-PSK, 128-PSK with Haar, Biorthogonal, reverse Biorthogonal etc wavelets and showed that DWT-OFDM outperform FFT-OFDM in all cases under consideration, in the case of [17], DWT-OFDM is used in channel estimation algorithm where least square (LS) and linear minimum mean square error (LMMSE) algorithms were used in DWT-OFDM system as compared to FFT-OFDM system and showed that both LS and LMMSE performed better in DWT-OFDM based system than in FFT-OFDM system for channel estimation purposes.…”