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Support vector machine (SVM), built on statistical learning theory (SLT), was proposed by Vapnik in 1995. Being based on structural risk minimization (SRM) principle, SVM has a better generalization performance in comparison to those traditional methods on learning problems. Originally, SVM was used to construct classifiers for pattern recognition, and(More)
Advantages of wireless sensor networks have germinated many new applications in both military and civil domains. Many researchers are engaged in designing new protocols for sensor networks where energy awareness is an essential consideration. We identify the trends that wireless sensor networks should be maneuverable by user from Internet and propose a new(More)
This paper studies the systematic uncertainties of nonlinear vector network analyzer (NVNA) measurements and presents a covariance-matrix-based method to analyze the uncertainty propagation from calibration standards and hardware to error model terms and effective measurements. Analytic deductions of the Jacobians for frequency-domain quantities are(More)
Spectrum sensing plays an important role in cognitive radios, of which a feasible method that fulfills both detection agility and users' mobility requirement remains unknown. In this paper, we identify the trend that mobility of cognitive users should be considered in near future and propose using ultra wide band (UWB) positioning system to fulfil mobility(More)
The step-recovery-diode-based impulse generator is a classical picosecond-level impulse-formation technique, whose strong harmonic nonlinearity under sinusoidal stimulus is widely utilized as the phase reference of the nonlinear vector network analyzer (VNA) (NVNA) and large-signal network analyzer for wideband measurements. This paper further exploits its(More)
This paper presents an extended behavioral model for the modeling of microwave amplifiers, namely harmonics dynamic X-parameters. This model aims at providing a powerful analysis capability for the prediction of fundamental and harmonic large-signal responses with long-term memory effects for the power amplifier. Several major problems faced by current(More)
This paper presents a quadrature direct digital frequency synthesizer (QDDFS) with super high memory compression ratio and analyzes its design principle theoretically. Its parameters have also been optimized. Trigonometric approximation and linear approach are combined coherently in order to reduce the size of the ROM (1856 bit). The compression ratio for(More)
SVC (scalable video coding) technique is such a new technique that just be proposed to overcome the shortage and insufficiency in the conventional unscalable coding system. At present, the algorithm based on DCT can not combine spatial scalability and other scalabilities together because it could not provide spatial localization property. So In recent(More)
In wavelet video coding, block-based motion estimation (ME) and compensation (MC) is extensively adopted to exploit the temporal correlation across video frames. Due to complicated motion model, error propagation of motion compensated temporal filtering (MCTF) for longer filter is more difficult than Haar filter. In this paper, we analysis pixels(More)
Left and right eye's views could be derived from the monoscopic image and corresponding depth map. Presenting these two slightly different views of every scene to the individual eyes with an appropriate disparity, a correct 3D perception can be realized within the mind. Taking the advantage of motion vector which reflects the movement between neighboring(More)