The focus in this paper is on the discussion of the approximation performance of the Mallat algorithm under biorthogonal wavelet bases with sampling property. The asymptotic formulae of the approximation errors of the Mallat algorithm and sharper quantitative estimation of the upper bounds are given for relatively small scale and relatively large scale, respectively. The results demonstrate that under such wavelet bases, the rate of decay of the Mallat project, directly replacing wavelet sampling points by uniform sampling points without prefiltering, reaches K order, where K is the order of a synthesis scaling function. The final experiments also show its advantages.

In phase space reconstruction of time sequences,the selection of embedding dimension is important.Based on the idea of looking at the behavior of enar neighbors under changes in the reconstruction is constructed.This method has asound theoretical basis and can get good result.By the way,it can indicatethe noise level in the data to be reconstructed,and estimate the effect of reconstruction.It is applied to speech signal reconstruction.

A new kind of method of prototype waveforme extraction and blockwise interpolation in linear predictive residual(LPR) domain was suggested by aligning phase of Pitch-Cycle waveform(PCW) along the time axis one by one. This method may avoid the perceptual distortion due to discontinuities near boundaries of interpolated PCW. At the same time, it made the boundary selection of prototype waveform not too strict. a novel 2.4 kb/s LPC speech coding model was established based on thus extraction and blockwise interpolation of the prototype waveform(PW). The computer simulation results shown that the reconstructed speech quality with this model closed to CELP algorithm at 4.8 kb/s.

In this paper we propose a sequential learning neural net which consists of the bounded weight adjustment algorithm and structure adaptive adjustment method. This network is characterized of efficiently learning the knowledge of new samples in series. After we present an efficient sequential learning algorithm of this network, we analyze its learning feature and recognition performance in detail. The effectiveness of this network have also been shown by theoretical analyses and a lot of experiments in this paper.

This paper presents a hardware implementation approach for realizing simple BP (Backward Propagation) neural network. The full current-mode analog circuits are used to form neuron modules, and a simple BP network is build using basic modules. This network has the property of on-chip learning and on-chip weight storing, and it can be used for coding, decoding and two-dimensional image recognition. Simuiation results with PSPICE and high-level languages are given.

This paper describes a short range target location system based on the range difference of T-R4 multistatic radar system with FMCW signal. A new method is proposed to determine the location and length of a thin cylindrical target making use of the high resolution of wide band FMCW signal and the spectrum characteristics of the target echo. Formulae are derived for target location and its length estimation being independent of the transmitter position. System performances are simulated with the proposed algorithm and the results are given for various situations

This paper presents an improved rank one phase error estimation(ROPE) autofo-cusing technique. Compared with ROPE, the improved algorithm has two distinct advantages: first, its model is more actual, so its property of robustness is better; second, at the begining of its iteration process, the initialized valves are set up approximately. Through approximate analysis, this paper proves that the improved algorithm s estimation of phase error is maximum-likelihood (ML), and, under some special situaitons, its estimation is the same as that of phase gradient autofocus (PGA), which is linear unbiased minimum variance (LUMV) estimation. PGA is a subset of this improved autofocus algorithm. Finally, some simulation results are given.

A new greatest of selection CFAR detector (TMGO) based on trimmed mean (TM) is proposed in this paper. It takes the greatest value of two local estimations created by leading and lagging reference window which apply TM method as a noise power estimation, and it also uses the automatic censoring technique proposed by He You (1994). It is shown that the detection performance of TMGO is superior to that of GOSGO or OSGO in both homogeneous background and nonhomogeneous environment caused by strong interfering targets and clutter edges, while the sample sorting time of TMGO is less than a half of that of OS. Some current CFAR algorithms such as GO,GOSGO or OSGO, CMGO becomes the special cases of TMGO.

Array-fed parabolic reflector and shaped reflector with a single feed are usually used to be contoured beam satellite antenna. In the paper, in accordance with the feature of array feeds of the former and the complex reflector surface shape of the latter, genetic algorithms and conjugate gradient method are chosen to optimize this two kinds of antenna to contour China map respectively, which proves that the aigorithms are effective in the optimization of contoured beam of satellite reflector antenna.

A stable recursive algorithm is presented for the transient simulation of interconnect systems in the high-speed VLSI and multichip modules (MCMs). The Taylor approximant are employed in the frequency domain, then a set of recursive formulas is derived by the inverse Laplace transform. The recursive convolution includes no unknowns, it is only related with the computed quantities. The algorithm concerns only the quantities at two ends of the lines, so it consumes less computer time and less memory in comparison with other methods. The algorithm is useful for both delay and crosstalk estimation and can be used to evaluate transient responses of high-speed interconnect circuits. Applications show that the method gives high accuracy.

Based on the skew-circular convolution distributed algorithm presented by W.Li(1991). A 8×8 2-D DCT/IDCT processor has been designed using FPGAs, which can be used for HDTV s decoder or other signal and information processing systems. It can be used to calculate either DCT or IDCT depending on a single control line. AM of the input/output are 12-bit and the internal data bus and internal parameters are 16-bit.

This paper prsents a theory of three essential circuit elements (signal, network and load) for surmounting failure of Boolean algebra. First, the paper analyzes the cauese of Boolean algebra failure in digital circuits. Second, on the basis of Perfect Digital Circuits Theory, a switch operater transform theorem is proved to embody all most the overwhelming majority identical equations on switch operater which was necessary to prove one by one in literatures. After that, it is shows that the unity of digital circuits exists not only between gate level and component level circuits, but also among component level circuits structures and between dyamic and static circuits. Besides, the Karnaugh map method and algebra method are presented for designing component level circuits.

The theory of participating logical function and logical function complementary formula are used in this paper, a series of importent laws are obtained, the state change process of guessed equivalant two variables logical complementary formula is used to accurate location of functional hazard, avoided heavy and complicated calculations. It is established strong foundtion for digital circuits and computer design.

This paper presents a fast global optimization neural network and applies it to the data fusion. This neural network is based on the global property of genetic algorithm and the high speed property of expectation maximization (EM) algorithm. The simulation results show that this neural network is robust in the data fusion.

This paper proposes a novel method to obtain a simple analytical solution to extrapolation problem for band-limited signals, which is much easier than prolate spherical wave function expansion method. The corresponding algorithm for extrapolation is built with a criterion of rubustness.

This paper presents a novel method for establishing 3-D human face wireframe model. The new model is suitable for the 3-D model-based face image coding.

This paper presents a (t + 1,n)-threshold key escrow system with tolerance of t failure or withholding escrow agents on the basis of key generating of Ref.[1] and key spitting of Ref.[2], which can prevent from subliminal key attack, verify the pieces of the user s private key, effectively discover the failure or corrupted escrow agents and backup key for users. This scheme can used to real-time communication encryption and file encryption.

This paper proposes a multichannel switch channel allocation network, shows the principle of multichannel bandwidth allocation, completely explains the method of bandwidth allocation at transmission time.

With bispectrum analysis, an AR model parametric bispectrum estimation is presented for radar target echoes. A detail analysis of actual aircraft echoes and a reasonable selection of target signature are made, with a formation of signature vector for target identification. The experimental results show that the method is feasible and effective.

Self-consistent non-linear theory is applied to simulate the high harmonic gyrotron with inner and outer slotted structure, it is found that the structure is advantageous to the interaction, the interaction efficiency is above 30%.

A method using space waves to detect the permittivites of media in half space is performed in the laboratory: transmitting a wave with both parallel and perpendicular polarizations simultanlously by a born and receiving the amplitudes and phases of the specular reflected waves with each polarizations respectively. The experiment is performed in X frequency band. The permittivites of target can be in any range. The results agree with that by the metal-scalling method. This method is of value in practical use.

A new method for recognition and tracking of image object is advanced.The recognition and tracking of image object is carried out by drawing the human visual property,and by means of the image object indentifier, which is used to recognize and represent object. In particular, when the abnormal situation occurs badly i.e. when suddenly sun glaring or missing of the images object occurs in a short period of Time, the object can be recognized and tracked. The model of the image object identifier is presented using image algebra. Based on the model, the intelligent recognition and tracking of the image object in the led visual digital tracking system is discussed. Two visual tracking practical examples are given; one tracks plane and another tracks one of human legs, and show that the method in the paper is effective and applicable.