Browsing by Subject "Wavelets (Mathematics) -- Data processing"
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Item Energy repacking for video compression using wavelet transforms(Texas Tech University, 1997-05) Sreenath, Sreenivas PrasadThe video compression field has gone through a rapid change in the past few years. This change can be attributed to the requirement of a large amount of video data handling and storage. The enormous amount of video data has increased the need for an optimum way of storing and compression. In order to achieve a better video compression, many techniques have been developed. This research exploits the energy repacking capability of wavelet transforms for video compression. A wavelet transform of an original image provides an efficient way to represent the original data with potentially very high compression rate. To evaluate the compression achievable with the wavelet transform, the results obtained from the wavelet algorithm is compared with results obtained from the standard JPEG baseline technique. The evaluation is mainly based on the log mean square error, the signal to noise ratio and the bit per pixel requirement of the data. The results confirm that the wavelet transform yields a better compression and energy repacking than that obtained from DCT transform. Different levels of subband decomposition of wavelets are also evaluated.Item Implementation and comparison of cosine modulated filter banks on a fixed point digital signal processor(Texas Tech University, 2004-05) Bhate, Kedar RavindraCosine Modulated Filter Banks have an efficient structure with respect to the number of multiplication and delay elements required. They also provide another desirable feature, perfect reconstruction (PR). However, their ability to provide PR can be affected due to various parameters, such as fixed-point constraints, imperfect modulation matrix, etc. In this thesis, effects of these parameters on the ability of the filter bank to provide PR are studied. To demonstrate the use of the filter bank in a real- time application, it is implemented using a TMS320C6211 Fixed-point Digital Signal Processor (DSP). The implementation uses the TLC320AD535 audio Encoder/Decoder (CODEC), the Multichannel Buffered Serial Port (McBSP) and the Enhanced Direct Memory Access (EDMA) controller on the DSK6211 board to continuously process and reconstruct digitized audio data.