High quality filters are essential part of vocoders. By means of filter banks structures we can combine modem DSP algorithms with hardware realizations having many parallel identical devices. This paper proposes digital filter realization based on filter bank structure suitable for hardware realization.

This paper establishes the equivalence of the phase only filter and a complexvalued neural network, and then shows how neural network learning can be utilized to enhance the capability of phase-only-filter based system. Specifically, the capability of phase only filters in pattern matching tasks is enhanced by using complex-valued, neural network learning algorithms. By incorporating the neural...

The main aim of the Speech Enhancement algorithms is to improve the Quality of speech. The Quality of speech is expressed in two parameters. One is clarity, and another is intelligibility. In this paper, we proposed a method to improve the quality of speech based on computationally efficient AR modeled Iterative Kalman Filter with time and frequency mask. This approach is based on reconstructio...

Feature selection is a multi-objective problem with the two main conflicting objectives of minimising the number of features and maximising the classification performance. However, most existing feature selection algorithms are single objective and do not appropriately reflect the actual need. There are a small number of multi-objective feature selection algorithms, which are wrapper based and ...

Real-time digital signal processing applications are everywhere. The most essential part of these applications are FIR filters. For these systems to achieve the realtime demands it is essential that filtering executes as fast as possible. For systems with sever constraints limited resources, low power consumption – stronger hardware is not a solution. The solution is to evaluate FIR filter algo...

In this paper, genetic algorithms based adaptive image enhancement filtering scheme is proposed and implemented on FPGA board. Contrast to conventional filter systems, proposed filter system can find optimal combination of filters as well as their sequent order and parameter values adaptively to unknown noise types using structured genetic algorithms. For evaluation, three types of noises were ...

Integrated navigation algorithms under the grid frame have been proposed based on the Kalman filter (KF) to solve the problem of navigation in some special regions. However, in the existing study of grid strapdown inertial navigation system (SINS)/Doppler velocity log (DVL) integrated navigation algorithms, the Earth models of the filter dynamic model and the SINS mechanization are not unified....

In this paper we propose algorithms for parameter estimation of fast-sampled homogeneous Markov chains observed in white Gaussian noise. Our algorithms are obtained by the robust discretization of stochastic differential equations involved in the estimation of continuous-time Hidden Markov Models (HMM’s) via the EM algorithm. We present two algorithms: The first is based on the robust discretiz...

This paper describes the development of an Extended Kalman Filter attitude estimator and its implementation in a small satellite control loop. Sensor models have first been added to an existing satellite simulation. The attitude and angular velocities are estimated from the available sensors and methods of tuning the filter based on Genetic Algorithms are discussed. Simulation results are prese...