One of the essential components of a neuromotor prosthetic device is a neural decoder that translates the activity of a set of neurons into an estimate of the intended movement of the prosthetic limb. Wiener filter style approaches model this transformation as a linear function of the number of spikes observed from a set of neurons and over a range of distinct time bins. More recently, research...

Adaptive filters are the filters that self adjust their transfer functions according to the error signal requirement.There are two categories of adaptive filters : Linear and non linear.Linear adaptive filters are those adaptive filters that obey the principle of superposition when the parameters are kept fixed. Non linear adaptive filters are those that do not follow the principle of superposi...

The least-mean-square (LMS) estimator is a nonlinear estimator with information dependencies spanning the entire set of data fed into it. The traditional analysis techniques used to model this estimator obscure these dependencies; to simplify the analysis they restrict the estimator to the finite set of data sufficient to span the length of its filter. Thus the finite Wiener filter is often con...

Linear transmit filters depend on current channel state information, which is available from the uplink channel estimation in time division duplex systems. For multiple antenna elements at the transmitter, we illustrate the influence of out-dated channel estimates on link level performance for symmetric and asymmetric traffic, comparing the transmit matched, zero-forcing, and Wiener filter. A W...

The paper presents speech enhancement scheme for suppression of different background noises. The objective of speech enhancement is to improve the quality of the processed speech. This paper also investigate the use of two different transforms for speech enhancement. Speech enhancement using wiener filtering approach is presented using transforms DFT and DCT. The type of transform shows differe...

Several adaptive order statistic filters (OSF) are developed and compared for channel characterization and noise suppression in images and 3-D CT data. Emphasis has been put on the situation when a noise-free reference image is not available but instead we can have a sequence of two noisy versions of the same image (or a 3-D data slice). One of the noisy images is used as the reference in the O...

Frequency domain adaptive filter has potential benefits of fast convergence and low computational load, which make it attractive in the application of active noise control. However, it has been noticed that the commonly used normalized frequency domain block LMS algorithm faces the problem of deterioration of steady-state behavior when the whole control system is noncausal or the adaptive filte...

Medical images or ultra sound images are typically used in the medical fields for lots of purposes. Many problems occurred in the medical images. Main problem related to this imaging technique is introduction of speckle noise which blurs or degrades the superiority of the image. Speckle noise makes the image indistinct which is tough to see clearly. There have been several techniques to de-nois...