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In order to deal with the small signal of six-dimensional force sensor, a high accuracy signal processing system is designed and implemented. This system mainly consists of instrumentation amplifier circuit, anti-aliasing filter, analog sampling module, master control unit, communication module, and user software based on LABWINDOWS platform. This paper analyzes structure of the sensor and equivalent...
The objective of this paper is to implement the equivalent filter bank structures for the computation of the Fractional Fourier transform (FrFT). Through this approach we can reduce the computation time of the fractional Fourier transform (FrFT). In this paper first the two methods to compute the fractional Fourier transform of any function is derived. Then the computation method is implemented using...
In this paper, we design, evaluate and compare two phase-based passive stereovision architectures. We present two approaches to implement phase-based correspondence search algorithms in real-time for sparse stereovision applications. The first approach enhances the accuracy of the 1D phase correlation method. The second approach optimizes the 2D phase correlation method at the cost of degradation...
In many classification systems, features have different acquisition costs. It is often unnecessary to acquire every feature to classify a majority of examples. We study a two-stage system, where new features can be acquired at the second stage for an additional cost. We seek decision rules to reduce the average cost of classifying samples but with little performance degradation. We formulate a two-stage...
Because of impurities, such as soil, hydrate, sour gas and so on, and corrosion during the pipeline operation, pigging is necessary. Spherical pig may be blocked in the pipeline. This paper briefly describes two positioning methods, which are based on wavelet transform method and pressure wave. Positioning principle, improved method and example are given. Compared with the actual value, the simulated...
In this paper we apply common spatial pattern (CSP) to the classification of electrooculography (EOG) signals with four distinct classes, namely, eye blinks (EB), eye rotation clockwise (ERC), vertical eye movement (VEM) and horizontal eye movement (HEM). We first describe the CSP and Linear Discriminant Analysis (LDA) algorithms with two classes. We apply the classification method to a database with...
The paper presents a method for arbitrary rational sampling rate conversion in the DFT-domain. Compared to the conventional time-domain-base method, our analysis and simulations show that the proposed method achieves substantial improvements on conversion accuracy at reduced computational costs.
We present results from a large study with 200 participants who watched short excerpts from TV programmes and assigned mood labels. The agreement between labellers was evaluated, showing that an overall consensus exists. Multiple mood terms could be reduced to two principal dimensions, the first relating to the seriousness or light-heartedness of programmes, the second describing the perceived pace...
This paper aims at presenting a âcomputational costâ optimization method in an Automatic Music Genre Classification system. In such systems, the training and validation database is often enormous. Consequently, a system based on a nearest neighbor classifier suffers from high computational cost during the classification process. In such cases, a training instance clustering (per...
This paper provides a algorithm of digital watermarking in MP4 Music. Cooperating the characteristic of audio and using the energetic variation for three next sections to seek for the new appropriate method. The action of embedding digital watermark will not affect the quality of audio. Furthermore, this embedding will not only provides enough robustness to bear several kinds of attacks, including...
Brain Computer Interface (BCI) is gaining popularity due to recent advances in developing small and compact electronic technology and electrodes. Miniaturization and form factor reduction in particular are the key objectives for Body Sensor Networks (BSNs) and wearable systems that implement BCIs. More complex signal processing techniques have been developed in the past few years for BCI which create...
3D traverse network survey is one of the methods use by surveyor or engineer as a control network for deformation monitoring, as not all the area/position surrounding the building or high rise building suitable for GPS observation and that position unavoidablely required for monitoring of the building. Generally, this Deformation Surveys can be able to detect relative even absolute movements for monitoring...
The advancement in digital photogrammetry has made photogrammetric technique become simpler, faster and lower cost. This method is popular in covering large and small area. This paper discusses about the experience of processing a strip of large format aerial photographs and two strips of small format aerial photographs using different digital photogrammetric software. The study area covered is the...
We present you a process-method that has no previous knowledge of image appearance sample within the database, but retrieves basing on content information of image called content based image retrieval. Here we are trying to enhance the work nature of image retrieving with more efficient accuracy in Image similarity through multilayer feed forward network perceptron named Radial basis Function neural...
Handwriting recognition is the ability of a computer to receive and interpret intelligible handwritten input. Recognition systems are divided into two categories: holistic approach and analytical approach. A holistic approach handles the whole input image, while analytical approach involves two steps namely; segmentation and combination. Handwriting recognition began long time ago mainly in Latin...
Musical instrument identification is one of the major topics in music signal processing. In this paper, we propose a musical instrument identification method based on sparse representation for polyphonic sounds. Such the identification has been still categorized into challenging tasks, since it needs high-performance signal processing techniques. The proposed scheme can be applied without any signal...
In this paper, the procedures for measuring the average radial velocity of scatterers in meteorological formations by pulse-Doppler radar are analyzed under conditions of continuous and changing pulse repetition intervals. The reasons of increasing measurement errors at the transition from constant to variable pulse repetition intervals are determined. Improved signal processing algorithm is analyzed...
One of the many challenges in the automated detection of epileptic seizures is to draw a line of demarcation between seizure activity and non-seizure activity. To accomplish this task, identification of related features and there extraction from the EEG plays a key role. The work presented in this paper is a part of an overall effort going on to develop a new method for automated detection of seizures...
Multi-standard applications encounter several developments in the wireless systems. A single receiver is required for any standard of communication. Software Radio (SR) is an illustration of this concept. This paper presents a design methodology to ease the design of a flexible RF receiver based on an analog discrete time Fast Fourier Transform (FFT). A proposed architecture named SASP (Sampled Analog...
In this paper we introduce video features which are used to predict if people want to exchange contact information with the other in a speed-date, we also use these features to predict how physically attractive participants found their dates. Previous work on predicting and interpreting speed-dates has focused mainly on the audio channel. We use automatically extracted features related to position,...
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