Browsing by Subject "Signal processing -- Mathematics"
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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.Item Multisensor image fusion(Texas Tech University, 1998-12) Vantipalli, Ravikrishna VIn recent years, a new discipline called multisensor data fusion has been developed to solve a diverse set of problems having common characteristics. Multisensor fusion seeks to combine data from multiple sensors to perform inferences that may not be possible from a single sensor alone. Several image fusion techniques are available, viz. statistical methods, feature selection methods, neural networks, and pyramidal methods. In this thesis fusion is performed using wavelets. The wavelet-based fusion techniques have the advantage of processing different frequency ranges differently, while providing a fast way to integrate local spatial information, a good control over noise, and an easy way to reconstruct the final product. This thesis reviews common image fusion techniques and describes the implementation of the wavelet based image fusion algorithm. The results obtained by applying different fusion schemes in the wavelet domain are presented and compared with those obtained by application of fusion schemes in the spatial domain. Edge detection is performed to show the additional features obtained in the fused images.