Based on Hoff and Arbib’ s control theory of the minimum jerk, this paper presents a new control model with cerebellar-like structure which can account for the temporal coordination of arm transport and hand preshape during reach and grasp tasks. And it has also be suggested that how the structure could learn two key functions required in the Hoff-Arbib theory, namely state look-ahead and TTG (time-to-go) estimation. The simulation results demonstrate that whether it is in a d or 2 d space, by training and learning, the model can obtain the accurate smooth motor trajectory.

Digital processing of audio on personal computers is becoming more and more common. Increasing hardware performance and decreasing price broadens possibilities and quality. Even today’s standard PC’s are capable of processing CD-quality audio data in real time, making it affordable even for amateurs and small studios to work in the digital domain. Real time audio processing allows modified audio to be heard while it is processed. Although needing much CPU power, it significantly improves professional digital audio: only when the effect of a changed parameter or setting (e.g. volume of an audio track) can be heard instantly, the desired parameter combination can be found in an acceptable time scale[4]. Real time filters also improve non-destructive audio editing possibilities and can reduce the needed disk space for filtered sections. This thesis will evaluate the wavelet theory for the use in real time digital audio processing[6]. Wavelets provide a new way of gathering frequency information from musical signals. Contrary to the traditionally employed technique for doing that based on Fourier transforms - the STFT - time information is not lost in a portion of analyzed audio data. This property (along with others, which are discussed later in this thesis) promises that wavelets provide efficient and suitable algorithms for real-time digital audio processing.

In this paper implementation of Adaptive Bilateral filter is carried out. This filter is used for the sharpness enhancement of degraded images and performs well for Impulse and Gaussian noise reduction. In this approach we calculated responses of the centre pixel of the constructed window. We tested the effects of bilateral filtering with a fixed domain Gaussian filter and a range filter shifted by the various choices for offset value. The performance of the implemented filter evaluated with four different images. We compared the performance of the filter with bilateral and trilateral filter.

There are the different biometric systems that are used for authentication. This paper represents various issues in face recognition systems, soft biometrics recognition system, keystroke recognition system, and DNA recognition system. This paper also gives brief description about fingerprint recognition system, types of fingerprints and how this system is better than other biometric system. Practical Biometric system should meet specified recognition requirements such accuracy, speed, and resources. Fingerprint recognition is harmless to the users hence it is accepted by the intended population.

Biometric based personal authentication is an effective method for automatically recognizing, with a high confidence, a person’s identity. By observing that the texture pattern produced by bending the finger knuckle is highly distinctive, in this seminar we present a new biometric authentication system using finger-knuckle-print (FKP) imaging. First a specific data acquisition device is constructed to capture the FKP images, and then an efficient FKP recognition algorithm is presented to process the acquired data. The local convex direction map of the FKP image is extracted, based on which a coordinate system is defined to align the images and a region of interest (ROI) is cropped for feature extraction. For matching two FKPs, a feature extraction scheme, which combines orientation and magnitude information extracted by Gabor filters is introduced. A competitive coding scheme, which uses 2D Gabor filters to extract the image local orientation information, is introduced which extract and represent the FKP features. When matching, the angular distance is used to measure the similarity between two competitive code maps. Compared with the other existing finger-back surface based biometric systems, the introduced FKP system achieves much higher recognition rate and it works in real time.